@arize-ai/arize-instrumentation
Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.
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Analyzing security...
Checking scan reports and verification data.
Bill of Materials
Everything this skill can do — files, network, commands, and more.
No demos yet. To add one, ask your AI agent: "Submit a demo for @arize-ai/arize-instrumentation" — or upload via the API.
To add a demo, ask your AI agent: "Submit a demo for @arize-ai/arize-instrumentation"
No eval data yet. Eval results are published via the SkillSafe API.